Abstract
This Simulation is a powerful modelling methodology, but it has no inherent means to address the ‘messy’ stages of modelling. Soft Systems Methodology (SSM) provides a recognised approach to problem structuring and conceptual model development, but it has no means to assess the feasibility of options. This chapter discusses how SSM may be combined with simulation to provide an iterative, framework which utilises the problem structuring capability of SSM and the feasibility-testing capability of simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ackoff, RL (1979) The future of operational research is past.Journal of the Operational Research Society, 30:189–199.
Beasley, J and Whitchurch, G (1984) O.R education — a survey of young O.R workers. Journal of the Operational Research Society, 35: 281–288.
Blightman, B (1987) Where now with simulation? Journal of the Operational Research Society, 38(2): 769–770.
Bryant, J. (1988) Frameworks of inquiry: OR practice across the hard-soft divide. Journal of the Operational Research Society, 39(5): 423–435.
Carroll, JM (1987) Simulation using Personal Computers. Englewood Cliffs,NJ: Prentice Hall.
Carter, L and Huzan, E (1973) A Practical Approach to Computer Simulation in Business. London: George Allen & Unwin
Checkland, PB (1981) Systems Thinking, Systems Practice. Chichester: Wiley.
Christy, DP and Watson, HJ (1983) The application of simulation: a survey of industrial practice. Interfaces, 13(5): 47–52.
Churchman, CW (1967) Wicked problems. Management Science, 14:141–142.
Davies, RM and O’Keefe, R (1989) Simulation Modelling With Pascal. Englewood Cliffs,NJ: Prentice Hall.
Greenberger, M, Crenson, MA and Crissey, BL (1976) Models in the Policy Process. New York: Russell Sage.
Hollocks, B (1992) A well kept secret. OR Insight, 5(4): 12–17.
Hurrion, RD (1989) Graphics and interaction. In Computer Modelling for Discrete Simulation. Pidd, M (Ed.). Chichester: John Wiley: 101–119.
Jackson, M (1992) Systems Methodology for the Management Sciences. London: Plenum.
Jasany, LC (1989) Simulation software update: kudos and caveats. Automation (P.D.E), 36(2): 27–29.
Kleijnen, J and Van Groenendaal, W (1992) Simulation A Statistical Perspective. Chichester: John Wiley.
Kochhar, A (1989) Computer simulation of manufacturing systems — 3 decades of progress. In Proceedings of the 3rd European Simulation Congress. San Diego, CA. Computer Simulation Society. 3–9.
Law, AM and Kelton, WD (1991) Simulation Modelling and Analysis. New York: McGraw-Hill.
Lehaney, B and Hlupic, V (1995) Simulation modelling for resource allocation and planning in the health sector. Journal of the Royal Society of Health, 115(6): 382–385.
Lehaney, B and Paul, RJ (1994a) Using soft systems methodology to develop a simulation of out-patient services. Journal of the Royal Society for Health, 114(5): 248–251.
Lehaney, B and Paul, RJ (1994b) Developing sufficient conditions for an activity cycle diagram from the necessary conditions in a conceptual model. Systemist 16(3): 261–268.
Lehaney, B, Warwick, S and Wisniewski, M (1993) The use of quantitative modelling methods in the UK: some national and regional comparisons. Journal of European Business Education, 3(2): 57–71.
Lewis, P (1994) Information-systems Development. London: Pitman.
Lewis, PA and Orav, EJ (1989) Simulation Methodology for Statisticians, Operations Analysts, and Engineers, Vol 1. California: Wadsworth and Brooks/Cole.
Mathewson, SC (1989) The implementation of simulation languages. In Computer Modelling for Discrete Simulation. Pidd, M (Ed.). Chichester: John Wiley: 23–56.
Paul, RJ and Balmer, D (1993) Simulation Modelling. Bromley: Chartwell Bratt.
Pidd, M (1984) Computer simulation for operational research in 1984. In Developments in Operational Research. Eglese, RW and Rand, GK (Eds). Oxford: Pergamon Press.
Rosenhead, J (Ed.) (1989) Rational Analysis for a Problematic World. Chichester: John Wiley.
Sackman, H (1967) Computers, Systems Science and Evolving Society: The Challenge of Man-Machine Digital Systems. New York: John Wiley.
Wilson, B (1984) Systems: Concepts, Methodologies, and Applications. Chichester: John Wiley.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London
About this chapter
Cite this chapter
Lehaney, B. (1998). Adding Value Through Simulation by Focusing on Process. In: Macredie, R., Paul, R., Anketell, D., Lehaney, B., Warwick, S. (eds) Modelling for Added Value. Springer, London. https://doi.org/10.1007/978-1-4471-0601-2_19
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0601-2_19
Publisher Name: Springer, London
Print ISBN: 978-3-540-76108-2
Online ISBN: 978-1-4471-0601-2
eBook Packages: Springer Book Archive